Task Submission - DAS003088 - Resume Reviewer

Task Submission: Resume Reviewer

Student: Supraja Sreshta Gummadi (DAS003088)

Domain: AI & Data Science

Internship ID: 809

Project Overview

Task Title: Resume Reviewer

Description: Build an AI-powered resume reviewer that analyzes resumes and provides improvement suggestions.

The objective of this task was to build an AI-powered Resume Reviewer that analyzes resumes and provides useful improvement suggestions.

The application allows users to upload their resumes in PDF or TXT format. The system extracts and analyzes the resume content to identify important information such as technical skills, contact details, and education details.

Based on the analysis, the application generates a resume score and provides suggestions to help improve the resume.

Domain Summary

This project belongs to the AI & Data Science domain. It uses text-processing techniques to analyze resume content and extract meaningful information.

The project demonstrates the practical application of:

• Text processing
• Regular expressions
• Keyword-based information extraction
• File processing
• PDF text extraction
• Web application development

Technologies Used

Programming Language: Python

Web Framework: Flask

Frontend: HTML and CSS

PDF Processing: PyPDF2

Text Processing: Python Regular Expressions and Keyword Matching

Development Environment: Visual Studio Code

How I Completed This Task

I completed this task by following the project requirements and implementing the necessary features.

First, I created a Python-based resume analyzer to read and process resume text. Then, I implemented text extraction for uploaded PDF and TXT files using Python and PyPDF2.

I developed functionality to identify technical skills, email addresses, phone numbers, and education-related information from the resume. I also created a scoring system based on the presence of important resume sections such as skills, education, projects, contact information, and internship or experience details.

Finally, I integrated the resume analysis functionality with a Flask web application and created a user interface using HTML and CSS. The application displays the analysis results and provides improvement suggestions to the user.

Outcome

The task was completed successfully with a functional AI Resume Reviewer web application.

The application can analyze uploaded resumes, extract important information, calculate a resume score, and provide improvement suggestions.

This task helped me gain practical knowledge and experience in:

• Python programming
• Flask web application development
• File handling
• PDF text extraction
• Text processing
• Regular expressions
• AI and Data Science project development

The project also improved my understanding of how text-processing techniques can be applied to solve real-world problems.

The task was completed successfully with all requirements met.